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An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears
An effective method to control the non-linear shrinkage of micro-injection molded small-module plastic gears by combining multi-objective optimization with Moldflow simulation is proposed. The accuracy of the simulation model was verified in a micro-injection molding experiment using reference proce...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370467/ https://www.ncbi.nlm.nih.gov/pubmed/35956628 http://dx.doi.org/10.3390/polym14153114 |
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author | Wu, Wangqing He, Xiansong Li, Binbin Shan, Zhiying |
author_facet | Wu, Wangqing He, Xiansong Li, Binbin Shan, Zhiying |
author_sort | Wu, Wangqing |
collection | PubMed |
description | An effective method to control the non-linear shrinkage of micro-injection molded small-module plastic gears by combining multi-objective optimization with Moldflow simulation is proposed. The accuracy of the simulation model was verified in a micro-injection molding experiment using reference process parameters. The maximum shrinkage ([Formula: see text]), volume shrinkage ([Formula: see text]), addendum diameter shrinkage ([Formula: see text]), and root circle diameter shrinkage ([Formula: see text]) were utilized as optimization objectives to characterize the non-linear shrinkage of the studied gear. An analysis of the relationship between key process parameters and the optimization objectives was undertaken using a second-order response surface model (RSM-Quadratic). Finally, multi-objective optimization was carried out using the non-dominated sorting genetic algorithm-II (NSGA-II). The error rates for the key shrinkage dimensions were all below 2%. The simulation results showed that the gear shrinkage variables, [Formula: see text] , [Formula: see text] , [Formula: see text] , and [Formula: see text] , were reduced by 5.60%, 8.23%, 11.71%, and 11.39%, respectively. Moreover, the tooth profile inclination deviation ([Formula: see text]), the profile deviation ([Formula: see text]), and the total tooth profile deviation ([Formula: see text]) were reduced by 47.57%, 23.43%, and 49.96%, respectively. Consequently, the proposed method has considerable potential for application in the high-precision and high-efficiency manufacture of small-module plastic gears. |
format | Online Article Text |
id | pubmed-9370467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93704672022-08-12 An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears Wu, Wangqing He, Xiansong Li, Binbin Shan, Zhiying Polymers (Basel) Article An effective method to control the non-linear shrinkage of micro-injection molded small-module plastic gears by combining multi-objective optimization with Moldflow simulation is proposed. The accuracy of the simulation model was verified in a micro-injection molding experiment using reference process parameters. The maximum shrinkage ([Formula: see text]), volume shrinkage ([Formula: see text]), addendum diameter shrinkage ([Formula: see text]), and root circle diameter shrinkage ([Formula: see text]) were utilized as optimization objectives to characterize the non-linear shrinkage of the studied gear. An analysis of the relationship between key process parameters and the optimization objectives was undertaken using a second-order response surface model (RSM-Quadratic). Finally, multi-objective optimization was carried out using the non-dominated sorting genetic algorithm-II (NSGA-II). The error rates for the key shrinkage dimensions were all below 2%. The simulation results showed that the gear shrinkage variables, [Formula: see text] , [Formula: see text] , [Formula: see text] , and [Formula: see text] , were reduced by 5.60%, 8.23%, 11.71%, and 11.39%, respectively. Moreover, the tooth profile inclination deviation ([Formula: see text]), the profile deviation ([Formula: see text]), and the total tooth profile deviation ([Formula: see text]) were reduced by 47.57%, 23.43%, and 49.96%, respectively. Consequently, the proposed method has considerable potential for application in the high-precision and high-efficiency manufacture of small-module plastic gears. MDPI 2022-07-30 /pmc/articles/PMC9370467/ /pubmed/35956628 http://dx.doi.org/10.3390/polym14153114 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wu, Wangqing He, Xiansong Li, Binbin Shan, Zhiying An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears |
title | An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears |
title_full | An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears |
title_fullStr | An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears |
title_full_unstemmed | An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears |
title_short | An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears |
title_sort | effective shrinkage control method for tooth profile accuracy improvement of micro-injection-molded small-module plastic gears |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370467/ https://www.ncbi.nlm.nih.gov/pubmed/35956628 http://dx.doi.org/10.3390/polym14153114 |
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